TY - CONF
AU - Kestor, G.
AU - Gioiosa, R.
AU - Unsal, O.
AU - Cristal, A.
AU - Valero, M.
T3 - 17th International Conference on Architectural Support for Programming Languages and Operating Systems
PY - 2012
Y1 - 2012
UR - https://www.bscmsrc.eu/sites/default/files/asplos2012.pdf
AB - To meet the expected performance, future exascale systems will require programmers to increase the level of parallelism of their applications. Novel programming models simplify parallel programming at the cost of increasing runtime overheard. Assisted execution models have the potential of reducing this overhead but they generally also reduce processor utilization.
We propose an integrated hardware/software solution that automatically partition hardware resources between application and auxiliary threads. Each system level performs well-defined tasks efficiently: 1) the runtime system is enriched with a mechanism that automatically detects computing power requirements of running threads and drives the hardware actuators; 2) the hardware enforces dynamic resource partitioning; 3) the operating system provides an efficient interface between the runtime system and the hardware resource allocation mechanism. As a test case, we apply this adaptive approach to STM2, an software transactional memory system that implements the assisted execution model.
We evaluate the proposed adaptive solution on an IBM POWER7 system using Eigenbench and STAMP benchmark suite. Results show that our approach performs equal or better than the original STM2 and achieves up to 65% and 86% performance improvement for Eigenbench and STAMP applications, respectively.
T2 - International Conference on Architectural Support for Programming Languages and Operating Systems
TI - Enhancing the performance of assisted execution runtime systems
ER -